213 research outputs found
Actuator fault tolerance for aWAM-V catamaran with azimuth thrusters
No full textIn this chapter, we present a fault-tolerant control scheme for an over-actuated unmanned surface vehicle (USV) equipped with two azimuth thrusters. The scheme manages the most common actuator faults, i.e., loss of efficiency of the thruster and lock-in-place of the azimuth angle. The scheme is based on a three-layer architecture: a heuristic-based control policy for proper reference generation, a control law for the vehicle dynamics to achieve speed tracking of the generated reference, and a control allocation level for optimally redistributing the control efforts among the thrusters even in presence of actuator faults and failures. The control allocation and the control policies are the main focus of the chapter, since their reconfiguration capabilities allow tolerance with respect to actuator failures. On the contrary, the control law does not depend on the health status of the system. The scheme is then tested in simulation, using a nonlinear model of a wave adaptive modular vessel catamaran
Development Of Nutritious Pizza Base.
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Implementing the market approach to enterprise support - an evaluation of ten matching grant schemes
No full textDeveloping viable new business is critical to recovery, and long-term growth, especially in transition economies. There has been a long history of public support of enterprise development, starting with centralized state agency initiatives, but moving more recently to decentralized instruments for development of the business services market. The window of time during which the benefits of intervention are likely to be greatest: when a market is in its infancy, and its development is constrained by uncertainty, and lack of information. Interventions for enterprise support should be demand-responsive, and flexibly organized. In some circumstances, centralized assistance may still be effective, but it is generally better to use competitive private service providers responding to enterprises'changing needs. The main task is to stimulate the private services sector, improving its capacity to respond to the demands of new, and expanding private enterprises. Support for enterprises has tended to be either free, or heavily subsidized. But such subsidies can be justified only if interventions efficiently supply goods. Providing technical, and management know-how can be a public good if it generates externalities- if, for example, know-how benefits can be disseminated at proportionately low additional cost. Any subsidy for an intervention should be temporary, and should be phased out when the main objective of intervention is achieved - that is, when the market takes off. Grants should generally be for know-how, not for equipment. There may be a case for unbundling the know-how component of loans (including feasibility studies, and follow-up expert services) for grant funding. A package combining loans and grants - through a single financial institution, or through separate institutions - may work provided safeguards can be put in place to prevent perverse use of grants. The matching grant model, which is used increasingly in the World Bank, and elsewhere, is one solution - but it must be justified, and carefully designed. After evaluating ten matching grant funds, the author concludes that performance is mixed. Best practice models are needed. Ensuring economic benefits requires proactive management, with clear objectives of market facilitation ("making a market"). And it requires a balance between rapid grant approval procedures, and careful selection of services for grants.Economic Theory&Research,Decentralization,Enterprise Development&Reform,Environmental Economics&Policies,Banks&Banking Reform,Health Economics&Finance,Banks&Banking Reform,Economic Theory&Research,Environmental Economics&Policies,ICT Policy and Strategies
Parameters quantification of genetic algorithm
No full textThis paper presents the importance of parameters tuning in global optimization algorithms. The primary objective of an experiment is to recognize the process. The experiments are carried out to learn the effect of various factors at different levels. Hence, identifying the optimal parameters setting is important for robust design. One of the most popular global optimization algorithms: genetic algorithm is considered in this study. The domain of inquiry is travelling salesman problem. The present study employs the Taguchi method that involves the use of an orthogonal array in the estimation of the factors. Taguchi approach has been widely applied in experimental design for problems with multiple factors. The use of Taguchi design is a novel idea—leads to efficient algorithms—can find a satisfactory solution in a few iterations, which improves the convergence speed and reduces the cost. Experimental results show that the Taguchi design is less sensitive to initial value of parameters. Two versions of genetic algorithms (with tuning and without tuning) are implemented. The analysis shows the superiority of genetic algorithm with tuning over genetic algorithm without tuning.</p
Problems in Task Scheduling in Multiprocessor System
No full textThis Contemporary computer systems are multiprocessor or multicomputer machines. Their efficiency depends on good methods of administering the executed works. Fast processing of a parallel application is possible only when its parts are appropriately ordered in time and space. This calls for efficient scheduling policies in parallel computer systems. In this work deterministic problems of scheduling are considered. The classical scheduling theory assumed that the application in any moment of time is executed by only one processor. This assumption has been weakened recently, especially in the context of parallel and distributed computer systems. This monograph is devoted to problems of deterministic scheduling applications or tasks according to the scheduling terminology requiring more than one processor simultaneously. We name such applications multiprocessor tasks. In this work the complexity of open multiprocessor task scheduling problems has been established. Algorithms for scheduling multiprocessor tasks on parallel and dedicated processors are proposed. For a special case of applications with regular structure which allow for dividing it into parts of arbitrary size processed independently in parallel, a method of finding optimal scattering of work in a distributed computer system is proposed. The applications with such regular characteristics are called divisible tasks. The concept of a divisible task enables creation of tractable computation models in a wide class of computer architectures such as chains, stars, meshes, hypercubes, multistage networks. Divisible task method gives rise to the evaluation of computer system performance. Examples of such performance evaluation are presented. This work summarizes earlier works of the author as well as contains new original results. Mukul Varshney | Jyotsna | Abhakiran Rajpoot | Shivani Garg "Problems in Task Scheduling in Multiprocessor System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4 , June 2017, URL: https://www.ijtsrd.com/papers/ijtsrd2198.pd
Function optimization using robust simulated annealing
No full textIn today’s world, researchers spend more time in fine-tuning of algorithms rather than designing and implementing them. This is very true when developing heuristics and metaheuristics, where the correct choice of values for search parameters has a considerable effect on the performance of the procedure. Determination of optimal parameters is continuous engineering task whose goals are to reduce the production costs and to achieve the desired product quality. In this research, simulated annealing algorithm is applied to solve function optimization. This paper presents the application and use of statistical analysis method Taguchi design method for optimizing the parameters are tuned for the optimum output. The outcomes for various combinations of inputs are analyzed and the best combination is found among them. From all the factors considered during experimentation, the factors and its values which show the significant effect on output are discovered.</p
The Case for Community Self-Governance on Access and Benefit Sharing of Digital Sequence Information
No full textDigital sequence information (DSI), a placeholder term commonly understood to refer to information related to genetic sequences stored in a digital format, has become a foundational component to biological research and its applications, including biodiversity conservation and biotechnological innovation. DSI results from the physical access to and use of genetic resources, which falls under the purview of the Convention on Biological Diversity (CBD) and the Nagoya Protocol on Access to Genetic Resources and the Fair and Equitable Sharing of Benefits Arising from their Utilization (NP). The CBD and the NP are legal frameworks governing access to genetic resources and the fair and equitable sharing of benefits arising from their use, a mechanism widely known as access and benefit sharing (ABS). Despite good intentions, a number of national regimes adopted in pursuance of the CBD and NP have created complex, ineffective frameworks that exacerbate the risk of counterproductive effects for biodiversity conservation and sustainable use. The debate on DSI focuses on what DSI includes, whether it is covered by the CBD or the NP and the possible implications of its inclusion or exclusion from these agreements. The CBD and NP parties agreed on a science- and policy-based process to debate the treatment of DSI. This process entailed the submission of views and information by parties, other governments, indigenous and local communities, and relevant organizations and stakeholders; the commissioning of technical studies; and the establishment of the Ad Hoc Technical Expert Group (AHTEG) on DSI. In the present article, we propose recommendations that can contribute to the upcoming discussion on DSI.Fil: Adler Miserendino, Rebecca A. Lewis Burke Associates; Estados UnidosFil: Meyer, Rachel Sarah. University of California; Estados UnidosFil: Zimkus, Breda M. Harvard University; Estados UnidosFil: Bates, John. Field Museum of National History; Estados UnidosFil: Silvestri, Luciana Carla. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Ciencias Humanas, Sociales y Ambientales; ArgentinaFil: Taylor, Crispin. American Society Of Plant Biologists ; Estados UnidosFil: Blumenfield, Tami. University of New Mexico; Estados Unidos. Yunnan University; ChinaFil: Srigyan, Megha. University of California; Estados UnidosFil: Pandey, Jyotsna L. American Institute Of Biological Sciences; Estados Unido
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